Program Overview
The Computational Mathematics at Duquesne University is a MSc programme in Mathematics & Statistics over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of mathematics & statistics. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Computational Mathematics programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- English requirement: IELTS 6.5
- Tuition: USD 1,234 (Tuition (Credit)) — National students
- Location: Pittsburgh, United States, United States
Career Opportunities
Graduates of the Computational Mathematics programme are prepared for diverse careers in mathematics & statistics:
- Actuary
- Quantitative Analyst
- Data Analyst
- Risk Manager
- Financial Modeller
- Statistical Researcher
Program Curriculum
Course Structure
- Maple, MatLab© (mathematics)
- JMP, R, SAS©, SPSS© (statistics)
- C++, Java\x99, Linux, Windows (computer science)
Admission Requirements
Academic Requirements
What Background Do I Need?
Although Computational Mathematics is an interdisciplinary program encompassing applied mathematics, statistics, and computer science, we do not expect applicants to have a background in all three of these disciplines. However, we do expect that students applying for the program will have already demonstrated proficiency in undergraduate majors-level STEM (Science, Technology, Engineering, and Math) courses.
In particular, to be admitted to the program typically requires that you have completed coursework that is at least the equivalent of a minor, preferably a major, in at least one of the three Computational Mathematics disciplines of mathematics, statistics, or computer science. In addition, although not required for application, a well-prepared student will have taken some or all of the following classes, which are prerequisites for our core:
- Math core: Requires two semesters of a majors-level calculus sequence (e.g., MATH 115 and MATH 116)
- Statistics core: In addition to the calculus sequence required for math, requires a calculus-based probability and/or statistics course (e.g., MATH 301)
- Computer science core: Requires an introductory majors-level programming course in an object-oriented language such as Java or C++ (e.g., COSC 160)
Students who lack one or more of these courses (most students have not taken all of these) but are otherwise well qualified are generally admitted provisionally. Such students will be provided with suggestions for mastering the necessary prerequisite material prior to enrolling in the corresponding Computational Mathematics core courses. The provisional admission becomes regular admission once the prerequisite material has been mastered.
Beyond appropriate undergraduate coursework, we also like to see GRE quantitative scores in the top quartile.
These are only general guidelines, and we do take the entire application into consideration when making admission decisions. If you have questions about your qualifications, we invite you to contact us using the information in the sidebar to the left.
If you have, or expect to have soon, an appropriate background, you can apply for Computational Mathematics as either adegree-seeking student or as special status (non-degree-seeking) student. These types of applications are discussed separately below.
Degree-seeking Student
Most students apply to the Computational Mathematics program seeking to earn a Master of Science (M.S.) degree. If you are such a student, the required application materials are:
- An online application cover sheet the provides contact and certain other information
- Transcripts of prior academic work
- Three letters of recommendation, at least two of which should be from references who can comment meaningfully on your prior academic performance
- A personal statement of at most 500 words that explains why you are applying to the Computational Mathematics program and provides any other information you wish the admissions committee to have
- A resume or curriculum vitae
- GRE general exam scores (the Duquesne school code is 2196 and the department code is 0703).
- For international students, either TOEFL or IELTS scores (not required of students who successfully complete Duquesne\'s ESL program)
Visit the Graduate School of Liberal Arts application page for more application details and a link to the online application cover sheet. Note that our program does not require a writing sample, only a personal statement.
English Proficiency: IELTS 6.5 or equivalent.
Tuition & Financial Information
Tuition Fee
USD 1,234 (Tuition (Credit)) — National students
Tuition fees: USD 1,234 (Tuition (Credit)) — National students
IELTS requirement: 6.5
Financial Aid & Scholarships
Contact Duquesne University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Duquesne University
Duquesne University
Pittsburgh, United States
Duquesne University is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...
University Profile- Language English
- Duration 24 months